Background

About LAB-IA

The Computing and Artificial Intelligence Laboratory (LAB-IA) at the Brazilian Center for Research in Physics (CBPF) is dedicated to research and technological development at the intersection of artificial intelligence (AI) and high performance computing. With a multidisciplinary team, the laboratory applies AI to solve complex problems across various scientific and technological fields.

CBPF's team has extensive experience developing Artificial Intelligence (AI) algorithms, especially for problems in astrophysics, cosmology, geophysics, and petrophysics. At CBPF, AI is an essential tool for identifying phenomena such as gravitational lenses and for characterizing reservoirs, estimating physical properties such as permeability and absolute porosity for the Oil and Gas industry with greater accuracy. In February 2020, CBPF's AI team won an international challenge to identify gravitational lens systems in simulated images, proposed by an astrophysics group at the University of Bologna, Italy.

CBPF Team Wins International Gravitational Lensing Challenge

Image about LAB-IA

Team Members

André Santos

PhD Student, CBPF

Dr. Jorge Luis Gonzalez Alfonso

Collaborator, UFES Professor

Dr. Matheus Klatt

FACC / CBPF

Dr. Bernardo M. Oliveira Fraga

CBPF

Dr. Juan Carlos Rodriguez Ramirez

Postdoc, CBPF

Naomi Nitahara Toribio

Master's Student, CBPF

Dr. Davi Rodrigues

Collaborator, UFES Professor

Msc. Luciana Olivia Dias

FACC / CBPF

Dr. Pedro Bessa

FACC / CBPF

Gabriel Teixeira

PhD Student, CBPF

Dr. Luidhy Santana

Collaborator / UFRJ

Phelipe D’Arc

PhD Student, CBPF

Dr. Genildo Santos

CBPF / IFRJ

Dr. Márcio Portes de Albuquerque

CBPF

Rayan Thadeu C. M. Barbosa

PCI Fellow, CBPF

Gustavo Schwartz

USP / CBPF

Mariana Bittencourt

Undergraduate Researcher, CBPF

Rômulo Rodrigues de Oliveira

PCI Fellow, CBPF

Dra. Viviane Alfradique

Postdoc, CBPF

Coordination

COTEC - Technological Development Coordination

Circuit board with heatsink on a test bench
sci.mind supercomputer rack in operation
Monitors with data analysis charts next to a server
Open server with processing modules installed
Bench with multiple cooled GPUs
Laboratory workstation with monitors and rack
Laboratory's resin 3D printers
Laboratory's resin 3D printers
Laboratory workstation with monitors and rack
Bench with multiple cooled GPUs
Open server with processing modules installed
Monitors with data analysis charts next to a server
sci.mind supercomputer rack in operation
Circuit board with heatsink on a test bench

Mission and Vision

LAB-IA aims to advance the state of the art in AI and computing, applying these technologies in scientific research and technological innovation. The laboratory aspires to be an internationally recognized leader in AI research, contributing to scientific and technological progress.

Collaborations

LAB-IA collaborates with academic institutions, research centers, and industry. Among its strategic partnerships are Petrobras and the Foundation for Supporting the Development of Scientific Computing (FACC), as well as projects funded by FAPERJ and FINEP. These collaborations expand the impact of the laboratory's research.

Areas of Focus

Our focus is on developing and applying AI algorithms to solve problems across a wide range of scientific fields, including astrophysics, petrophysics, geophysics, new materials, energy, biology, etc. We use AI to process and analyze large volumes of experimental and observational data, applying and facilitating discoveries in quantum mechanics and optimizing exploration in the oil and gas industry. We also employ AI in the modeling and simulation of complex systems, accelerating research in cosmology and particle physics. Our laboratory is also committed to projects focused on energy efficiency and sustainability, including the implementation of green energy solutions.

Commitment to Excellence

Committed to excellence, we work to develop innovative solutions that address the challenges of contemporary society, promoting significant advances in science and technology.

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